AI Ethics
Misinformation
Misinformation is false or inaccurate information that is spread without intent to deceive.
AI Ethics
Model Cards
Model Cards are standardized documents that provide clear, concise information about machine learning models, including their intended use, performance, and limitations.
AI Ethics
Montreal Declaration
The Montreal Declaration is a set of ethical guidelines aimed at promoting responsible development and use of artificial intelligence.
AI Ethics
Moral Sycophancy
Moral sycophancy is the practice of insincerely aligning with popular ethical views to gain approval or social advantage.
AI Ethics
Negative Externalities
Negative externalities are costs imposed on third parties or society that result from an economic activity but are not reflected in the market price.
AI Ethics
Non-Maleficence
Non-Maleficence is the ethical principle of avoiding harm or injury to others in any professional or personal context.
AI Ethics
OECD AI Principles
OECD AI Principles are a set of guidelines designed to promote responsible and trustworthy development and use of artificial intelligence worldwide.
AI Ethics
Outer Alignment
Outer alignment is the degree to which an AI system's goals and behaviors align with the intended values and objectives set by its human designers and society at large.
AI Ethics
Persuasion
Persuasion is the art and science of influencing people's attitudes, beliefs, or behaviors through communication.
AI Ethics
Predictive Parity
Predictive Parity is a fairness metric ensuring that a predictive model's positive predictions have equal accuracy across different demographic groups.
AI Ethics
Privacy Violation
Privacy violation is the unauthorized access, use, or disclosure of personal information that breaches an individual's right to control their private data.
AI Ethics
Reliability
Reliability is the consistency and dependability of a system, product, or process to perform as expected under specified conditions.
AI Ethics
Responsible AI
Responsible AI is the practice of designing, developing, and deploying artificial intelligence systems that are ethical, transparent, and accountable.
AI Ethics
Reward Hacking
Reward hacking is a phenomenon where an AI or system exploits loopholes in its reward function to achieve high rewards in unintended ways.
AI Ethics
Right to be Forgotten
The Right to be Forgotten is a legal principle allowing individuals to request the removal of personal information from online platforms under certain conditions.
AI Ethics
Right to Explanation
The Right to Explanation is a principle that allows individuals to understand how automated systems, especially AI algorithms, make decisions affecting them.
AI Ethics
Risk Assessment
Risk assessment is the process of identifying, evaluating, and prioritizing potential risks that could negatively impact a business or project.
AI Ethics
Robustness
Robustness is the ability of a system, process, or model to maintain effective performance despite changes, errors, or unexpected conditions.
AI Ethics
Robustness Certification
Robustness Certification is the process of formally verifying that a system, model, or product maintains reliable performance under various challenging or adversarial conditions.
AI Ethics
Safe Exploration
Safe Exploration is a strategy that ensures discovering new information or opportunities while minimizing risks and negative consequences.
AI Ethics
Safe Reinforcement Learning
Safe Reinforcement Learning is a branch of reinforcement learning focused on ensuring that autonomous agents learn and act without causing harmful or risky behaviors.
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